Skill Claude CodeCodex
Use when tasks need factor diagnostics, IC/grouped return analysis, attribution, robustness checks, deterministic factor-mining evaluation, or time-series distribution and stationarity checks.
Skill Claude CodeCodex
Use when tasks need vectorized strategy execution, portfolio weighting, portfolio-level filters, transaction cost helpers, exit A/B analysis, overlay metrics, or multi-strategy return blending.
Skill Claude CodeCodex
Use when tasks need strategy-agnostic OHLCV indicators, math utilities, generic factor examples, regime slicing, resampling, or label makers.
Skill Claude CodeCodex
Use when tasks need AI multi-agent factor mining research boundaries, versioned ResearchBrief/FactorSpec contracts, evaluation/review/decision objects, or cross-platform role task protocols without implementing compute/analyze algorithms here.
Skill Claude CodeCodex
Use when tasks need PandaData/PandaAI stock, fund, ETF, index, or futures data, reference data, adjustment factors, futures tick downloads, or symbol conversion.
Skill Claude CodeCodex
Use when tasks need optional PyCaret model training, ML factor generation, inference wrappers, feature importance, or sparse LASSO weight generation.
Skill Claude CodeCodex
Use when tasks need complete HTML research reports, HTML dashboards, PNG chart helpers, or files under the research reports directory.
Skill Claude CodeCodex
Use when tasks need reusable research pipeline templates, factor screening, or parameter sensitivity sweeps.
Skill Claude CodeCodex
Use when tasks need local market Parquet data, factor artifacts, backtest data, or model files through DataManager.
Skill Claude CodeCodex
Use when tasks need reusable strategy contracts, cross-sectional selection types, or time-series signal-to-weight helpers.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: